9 citations as recorded by crossref.

1. Effects of urban canopy on kinematic and boundary layer structures of the landfalling Typhoon Lekima (2019) X. Ao et al. https://doi.org/10.1016/j.uclim.2026.102859
2. Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al. https://doi.org/10.1038/s42949-026-00388-z
3. Linking urban population exposure to heatwaves with land cover change across the UK Y. Sun et al. https://doi.org/10.1016/j.scs.2026.107349
4. Impacts of urban morphology and sky conditions on microscale surface and canopy heat islands under subtropical climate: Scaled outdoor experiments G. Chen et al. https://doi.org/10.1016/j.buildenv.2026.114636
5. Leveraging automated machine learning (AutoML) for urban climate emulation J. Yu et al. https://doi.org/10.1016/j.bdes.2025.100040
6. Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al. https://doi.org/10.1016/j.rse.2025.114943
7. Mapping the aerodynamic parameters for built environment: A CFD simulation and machine learning framework J. Chen & Z. Mo https://doi.org/10.1016/j.buildenv.2026.114804
8. Mapping drag coefficient using CFD and machine learning with application to urban canopy model J. Chen et al. https://doi.org/10.1016/j.scs.2025.106719
9. Representation of global mega-cities and their urban heat island in CORDEX-CORE regional climate model simulations G. Langendijk et al. https://doi.org/10.1038/s42949-025-00325-6